Main Effects
Main Effects
Definition
Main effects are the impact of changing a single variable in a multivariate test. When a test only monitors main effects the assumption is made that there is no interaction between individual variables (see Variable interaction).
If this is not the case there is a danger that the winning recipe will not deliver the expected uplift because of the interaction between individual variables. This is a drawback of fractional factorial multivariate tests which assume there is no relationship between the independent variables.
Comparison of Full Factorial and Fractional Factorial DOE
Resources:
Conversion marketing – Glossary of Conversion Marketing.
Over 300 tools reviewed – Digital Marketing Toolbox.
A/B testing software – Which A/B testing tools should you choose?
Types of A/B tests – How to optimise your website’s performance using A/B testing.
